Re-evaluation of the optimal operating conditions for the primary end of an integrated steel plant using multi-objective genetic algorithms and Nash equilibrium

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Hodge BM, Pettersson F, Chakraborti N
Publisher: VERLAG STAHLEISEN MBH
Publication year: 2006
Journal: Steel Research International
Journal acronym: STEEL RES INT
Volume number: 77
Issue number: 7
Start page: 459
End page: 461
Number of pages: 3
ISSN: 1611-3683


Abstract

Some existing work on optimizing the operational cost of the primary end of an integrated steel plant containing two blast furnaces utilizing both pellets and sinters, an electric furnace and a basic oxygen furnace was further advanced using a multi-objective genetic algorithm, along with a Nash equilibrium analysis. The new formulation was able to improve the earlier results very significantly, suggesting the efficacy of the multi-objective approach over the more conventional single objective genetic algorithms.


Keywords

genetic algorithms, ironmaking, multi-objective optimization, Nash equilibrium, Pareto front

Last updated on 2019-14-10 at 04:01